Paula Bertram
Impact in
- Immunology top 5%
- Complement system in diseases
- Virology top 5%
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- Ubiquitin and proteasome pathways 2
- Immunology 12
- Complement system in diseases 10
- Galectins and Cancer Biology 2
- Co-authors
- Xiao-Feng Zheng (9 shared papers)Ting‐Fung Chan (4 shared papers)Wandong Ai (4 shared papers)John Carvalho (4 shared papers)Chi Kwan Tsang (2 shared papers)M. Kathryn Liszewski (9 shared papers)Marcus P. Watkins (1 shared paper)Hong Li (1 shared paper)
- Journals
- The Journal of Immunology (4 papers)Molecular Immunology (4 papers)Journal of Biological Chemistry (4 papers)Journal of Virology (1 paper)Immunobiology (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Paula Bertram
30 papers receiving 2.2k citations
Paula Bertram's Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 683
- Virology 113
- Aging 38
- Molecular Biology 1.3k
- Nephrology 120
Countries citing papers authored by Paula Bertram
This map shows the geographic impact of Paula Bertram's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paula Bertram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Bertram more than expected).
Fields of papers citing papers by Paula Bertram
This network shows the impact of papers produced by Paula Bertram. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paula Bertram. The network helps show where Paula Bertram may publish in the future.
Co-authors
The 25 scholars most cited alongside Paula Bertram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Intracellular Complement Activation Sustains T Cell Homeostasis and Mediates Effector Differentiation Hit paper breakdown → | 2013 | 446 |
| 2 | 2006 | 260 | |
| 3 | 2000 | 211 | |
| 4 | 2001 | 150 | |
| 5 | 2003 | 138 | |
| 6 | 2004 | 132 | |
| 7 | 2002 | 103 | |
| 8 | 2006 | 101 | |
| 9 | 2002 | 99 | |
| 10 | 2016 | 91 | |
| 11 | 2017 | 90 | |
| 12 | 2002 | 88 | |
| 13 | 1998 | 82 | |
| 14 | 2001 | 57 | |
| 15 | 2001 | 46 | |
| 16 | 2013 | 40 | |
| 17 | 2014 | 36 | |
| 18 | 2009 | 28 | |
| 19 | 2008 | 24 | |
| 20 | 2019 | 16 |
About Paula Bertram
Paula Bertram is a scholar working on Molecular Biology, Immunology, Virology, Cell Biology and Nephrology, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Complement system in diseases (10 papers), Poxvirus research and outbreaks (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Transgenic Plants and Applications (3 papers), Renal Diseases and Glomerulopathies (3 papers), Ubiquitin and proteasome pathways (2 papers), Galectins and Cancer Biology (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Immunology (683 citations), Virology (113 citations), Aging (38 citations), Molecular Biology (1.3k citations) and Nephrology (120 citations). Paula Bertram has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Xiao-Feng Zheng, Ting‐Fung Chan, Wandong Ai, John Carvalho, Chi Kwan Tsang, M. Kathryn Liszewski, Marcus P. Watkins, Hong Li, Ryan M. Drenan and Chenbo Zeng. Their work appears in journals such as The Journal of Immunology, Molecular Immunology, Journal of Biological Chemistry, Journal of Virology and Immunobiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.